Supreme Court could eliminate affirmative action in university admissions as it considers high-profile challenges against Harvard and University of North Carolina
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
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Contributing sentiments towards policy:
70% : "I represent so many communities in which affirmative action benefits us all the time," Agustín León-Sáenz, a first-generation immigrant from Ecuador and a sophomore at Harvard, told Insider.61% :The Supreme Court has over the years confronted the role of race in university admissions and repeatedly maintained the constitutionality of affirmative action.
52% : After both of the universities denied those claims and lower courts sided with them, SFFA turned to the Supreme Court, urging the justices to abolish race as a factor in admissions and to overturn Grutter v. Bollinger, a nearly 20-year-old landmark decision that upheld affirmative action.
49% : But in practice, ending affirmative action policies at major universities has meant dramatic drops in the number of students of color accepted to those schools.
47% : "We think that people should be treated as individuals - not on the basis of their membership in a racial group," Wen Fa, a senior attorney at the Pacific Legal Foundation who filed a legal brief supporting SFFA, told Insider, calling affirmative action efforts "wrong and pernicious."
45% : They and other advocates of the policy argue that affirmative action is about leveling the playing field, granting historically underrepresented groups the opportunity to access a higher education.
40% : Both the University of Michigan and the University of California, in legal briefs filed to the Supreme Court, say their push to create diverse classes without affirmative action policies - which were banned in both states more than 15 years ago - have largely failed.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.